Greetings from SRINAV INC. Kindly find the below requirement and share your interest. Position : Lead GIS Integration Engineer Location : Remote Duration : Long term Position Overview We are seeking an experienced Lead GIS Integration Engineer to drive the technical design and delivery of our Next-Generation GIS Program. This role is central to migrating and integrating legacy Small World GIS and ESRI platform data into a modern Advanced Distribution Management System (ADMS), while establishing scalable, event-driven data pipelines and migration frameworks across a cloud-native AWS environment. The ideal candidate brings deep expertise in enterprise GIS platforms, systems integration, and modern data engineering and is comfortable leading both architectural decisions and hands-on technical delivery.

Key Responsibilities

GIS Integration & Architecture Lead the technical design and implementation of integrations between Small World GIS, ESRI (ArcGIS), and ADMS platforms. Define and enforce integration standards, data contracts, and API design patterns across GIS and ADMS systems. Architect event-driven data flows using Apache Kafka to enable real-time synchronization of network model and spatial data. Evaluate and resolve data model conflicts, schema mismatches, and coordinate business rule reconciliation between source and target systems. Data Migration Lead end-to-end GIS data migration efforts using FME (Feature Manipulation Engine), including workspace development, automation, and validation. Design and execute migration runbooks, data quality checks, and rollback procedures for production cutovers. Establish data lineage tracking, transformation audit logs, and migration metrics dashboards. Collaborate with GIS analysts and data stewards to validate migrated spatial datasets against business requirements. Cloud & DevOps Design and maintain AWS infrastructure for GIS workloads (EC2, S3, RDS/Aurora, Lambda, ECS/EKS, API Gateway). Implement CI/CD pipelines and branching strategies using Git (GitHub/GitLab/Bitbucket) for GIS integration codebases. Champion infrastructure-as-code practices and automated testing for integration pipelines. Monitor pipeline health, set up alerting, and manage incident response for production GIS data flows. Python Development Develop Python-based ETL pipelines, spatial processing scripts, and integration connectors (GeoPandas, Shapely, ArcPy, Fiona, PyProj). Build and maintain REST/SOAP API clients for ESRI, Small World, and ADMS interfaces. Contribute reusable libraries and internal tooling to accelerate team delivery. Technical Leadership Serve as the primary technical lead and point of escalation for the GIS integration workstream. Mentor junior engineers and GIS analysts; conduct code reviews and uphold engineering best practices. Facilitate stakeholder workshops to gather integration requirements and define acceptance criteria. Produce technical documentation: architecture diagrams, integration specifications, runbooks, and operational guides. Coordinate closely with ADMS vendor teams, network operations, and enterprise architecture.

Required Qualifications

Experience 8+ years of professional experience in GIS engineering, systems integration, or spatial data management. 3+ years in a technical lead or senior individual contributor role on enterprise GIS or utility technology programs. Demonstrated experience delivering GIS-to-ADMS or equivalent OT/IT integration projects in the utilities sector. Technical Skills GIS Platforms: Small World GIS (Smallworld Magik), ESRI ArcGIS (Pro, Enterprise, Online) ADMS / OMS: Integration experience with ADMS/OMS platforms (GE, Schneider, Oracle, ABB, or equivalent) Data Migration: FME Desktop & Server workspace design, automation, scripting, scheduling Streaming: Apache Kafka producer/consumer development, topic design, schema registry Cloud (AWS): EC2, S3, RDS, Lambda, ECS/EKS, Glue, MSK, CloudWatch, IAM Python: GeoPandas, Shapely, ArcPy, Fiona, SQLAlchemy, FastAPI, Pytest Version Control: Git branching strategies, PR workflows, CI/CD (GitHub Actions, GitLab CI, Jenkins) Databases: PostgreSQL/PostGIS, Oracle Spatial, SQL Server, NoSQL